The University of Dublin | Trinity College -- Ollscoil Átha Cliath | Coláiste na Tríonóide
Trinity's Access to Research Archive
Home :: Log In :: Submit :: Alerts ::

TARA >
PEER Project >
PEER Publications >

Please use this identifier to cite or link to this item: http://hdl.handle.net/2262/65616

Title: Multiobjective Particle Swarm Optimization for the optimal design of photovoltaic grid-connected systems
Keywords: Environmental
Economic
Multiobjective optimization
Particle swarm optimization
Photovoltaic systems
Issue Date: 14-Nov-2010
Publisher: Elsevier
Abstract: Abstract Particle Swarm Optimization (PSO) is a highly efficient evolutionary optimization algorithm. In this paper a multiobjective optimization algorithm based on PSO applied to the optimal design of photovoltaic grid-connected systems (PVGCSs) is presented. The proposed methodology intends to suggest the optimal number of system devices and the optimal PV module installation details, such that the economic and environmental benefits achieved during the system’s operational lifetime period are both maximized. The objective function describing the economic benefit of the proposed optimization process is the lifetime system’s total net profit which is calculated according to the method of the Net Present Value (NPV). The second objective function, which corresponds to the environmental benefit, equals to the pollutant gas emissions avoided due to the use of the PVGCS. The optimization’s decision variables are the optimal number of the PV modules, the PV modules optimal tilt angle, the optimal placement of the PV modules within the available installation area and the optimal distribution of the PV modules among the DC/AC converters.
URI: http://hdl.handle.net/2262/65616
ISSN: 0038092X (ISSN)
DOI: 10.1016/j.solener.2010.10.001
Rights: 2010
Affiliation: Technical University of Crete, Department of Electronic and Computer Engineering, University Campus - 73100--> , Chania--> - GREECE (Kornelakis, Aris)
GREECE (Kornelakis, Aris)
Appears in Collections:PEER Publications

Files in This Item:

File Description SizeFormat
PEER_author_10.1016%2Fj.solener.2010.10.001.pdf1.31 MBAdobe PDFView/Open


This item is protected by original copyright


Please note: There is a known bug in some browsers that causes an error when a user tries to view large pdf file within the browser window. If you receive the message "The file is damaged and could not be repaired", please try one of the solutions linked below based on the browser you are using.

Items in TARA are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! DSpace Software Copyright © 2002-2010  Duraspace - Feedback